How MLLib Has Become An Indispensable Part Of Apache Spark’s Machine Learning Endeavor

With datasets in machine learning growing faster than ever, they have given a rise to numerous complexity as well. This calls for developing a flexible data framework which will support both the increasing capacity as well as the complexity of these datasets. Apart from providing solutions to these concerns, the framework should also include the functionality of ML. This will help deal with large datasets efficiently. Now, Apache Spark, the popular open-source cluster-computing engine, has come up with a library called MLLib which supports ML applications and features. What Is MLLib? MLLib is Spark’s distributed ML library which uses data parallelism technique to store and work with data. The library contains implementations of standard ML algorithms such as classification, regression,